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Energy Conservation Solutions for Fog-Edge Computing Paradigms: 74 (Lecture Notes on Data Engineering and Communications Technologies) - Softcover
Inhaltsangabe
This book focuses on energy efficiency concerns in fog–edge computing and the requirements related to Industry 4.0 and next-generation networks like 5G and 6G. This book guides the research community about practical approaches, methodological, and moral questions in any nations’ journey to conserve energy in fog–edge computing environments. It discusses a detailed approach required to conserve energy and comparative case studies with respect to various performance evaluation metrics, such as energy conservation, resource allocation strategies, task allocation strategies, VM migration, and load-sharing strategies with state-of-the-art approaches, with fog and edge networks.
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Über die Autorin bzw. den Autor
Dr. Rajeev Tiwari is working as the sr. associate professor in SCS in UPES, Dehradun (India). He is a senior IEEE member. He has done Ph.D. in CSE from Thapar University, Patiala (Punjab). He has more than 16 years of research and teaching experience. His broad areas of research are cloud computing, MANET, VANET, QoS in wireless networks, cache invalidation techniques, Internet of Things (IoT), big data analytics, and machine learning. He is an expert in the simulation and design of scenarios on NS2, SUMO, and MOVE. He is an active member of ACM, IEI, IACSIT, and IAENG. He has 50+ international publications in SCI and Scopus indexed journals and conferences. His publications are majorly indexed in SCI, Scopus, and DBLP. He has published national and international patents also. He has enriched the experience of organizing international conferences successfully. He has major roles as organizing chair, TPC chair, co-chair secretory, etc., in NGCT 2016, NGCT 2017, NGCT 2018, NGCT 2019, ICACCA 2019, IC4S 2019, etc., with Springer and IEEE. He has chaired many sessions in international conferences. He is a lead reviewer in SCI indexed journals of Springer, IEEE, and ScienceDirect and international conferences. He has edited books and published book chapters also with international publishers. He has contributions in funded projects in the field of IoT, cloud and wireless network, FoG/edge computing systems and their QoS.
Mamta Mittal is working in the Computer Science and Engineering Department at G. B. Pant Government Engineering College, Okhla, New Delhi (under Government of NCT Delhi). She earned Ph.D. in Computer Science and Engineering from Thapar University, Patiala; M.Tech. (Honors) in Computer Science and Engineering from YMCA, Faridabad, and B.Tech. in Computer Science and Engineering from Kurukshetra University, Kurukshetra, in 2001. She has been teaching from the last 18 years with emphasis on data mining, machine learning, soft computing and data structure. Dr. Mittal is a lifetime member of CSI and published and communicated more than 90 research papers in SCI, SCIE, and Scopus indexed journals. She holds five patents and two copyrights granted and three patents published in the areas of artificial intelligence, IoT, and deep learning. Dr. Mittal has edited/authored many books with reputed publishers like Springer, IOS Press, Elsevier, and CRC Press and working on DST approved Project “Development of IoT based hybrid navigation module for mid-sized autonomous vehicles” with research grant of 25 Lakhs. Currently, she is guiding Ph.D. scholars in machine learning, computer vision and deep learning areas. Dr. Mittal is the editorial board member with InderScience, Bentham Science, Springer, and Elsevier, handled special issues and has chaired a number of conferences. She is the book series editor of Health Informatics and Health care, using AI and smart computing and another series edge AI in future computingwith CRC Press, Taylor & Francis, USA.
Dr. Lalit Mohan Goyal has completed Ph.D. from Jamia Millia Islamia, New Delhi, in Computer Engineering, M.Tech. (Honors) in Information Technology from Guru Gobind Singh Indraprastha University, New Delhi, and B.Tech. (Honors) in Computer Engineering from Kurukshetra University, Kurukshetra. He has 17 years of teaching experience in the areas of theory of computation, parallel and random algorithms, distributed data mining, and cloud computing. He has completed a project sponsored by the Indian Council of Medical Research, Delhi. He has published many research papers in SCI indexed and Scopus indexed journals and conferences. Two patents filed by him are also now published online. He is a reviewer of many reputed journals and conferences. He has given many invited talks in FDP and conferences. Presently, he is working at J. C. Bose University of Science and Technology, YMCA, Faridabad, in the Department of Computer Engineering.
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This book focuses on energy efficiency concerns in fog-edge computing and the requirements related to Industry 4.0 and next-generation networks like 5G and 6G. This book guides the research community about practical approaches, methodological, and moral questions in any nations' journey to conserve energy in fog-edge computing environments. It discusses a detailed approach required to conserve energy and comparative case studies with respect to various performance evaluation metrics, such as energy conservation, resource allocation strategies, task allocation strategies, VM migration, and load-sharing strategies with state-of-the-art approaches, with fog and edge networks.
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Energy Conservation Solutions for Fog-Edge Computing Paradigms
ISBN 10: 9811634505
ISBN 13: 9789811634505
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Taschenbuch. Zustand: Neu. Neuware -This book focuses on energy efficiency concerns in fog¿edge computing and the requirements related to Industry 4.0 and next-generation networks like 5G and 6G. This book guides the research community about practical approaches, methodological, and moral questions in any nations¿ journey to conserve energy in fog¿edge computing environments. It discusses a detailed approach required to conserve energy and comparative case studies with respect to various performance evaluation metrics, such as energy conservation, resource allocation strategies, task allocation strategies, VM migration, and load-sharing strategies with state-of-the-art approaches, with fog and edge networks.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 324 pp. Englisch. Artikel-Nr. 9789811634505
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Energy Conservation Solutions for Fog-Edge Computing Paradigms
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Springer Nature Singapore, Springer Nature Singapore, 2021
ISBN 10: 9811634505
ISBN 13: 9789811634505
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on energy efficiency concerns in fog-edge computing and the requirements related to Industry 4.0 and next-generation networks like 5G and 6G. This book guides the research community about practical approaches, methodological, and moral questions in any nations' journey to conserve energy in fog-edge computing environments. It discusses a detailed approach required to conserve energy and comparative case studies with respect to various performance evaluation metrics, such as energy conservation, resource allocation strategies, task allocation strategies, VM migration, and load-sharing strategies with state-of-the-art approaches, with fog and edge networks. Artikel-Nr. 9789811634505
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Energy Conservation Solutions for Fog-Edge Computing Paradigms (Lecture Notes on Data Engineering and Communications Technologies)
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